Edge-Guided Remote-Sensing Image Compression-Reference-Cited by-同舟云学术

Edge-Guided Remote-Sensing Image Compression

Published:2023 Issue: Volume:61 Page:1-15
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Han Pengfei¹^ORCID,Zhao Bin²,Li Xuelong²^ORCID

Affiliation:

1. School of Cybersecurity, the School of Artificial Intelligence, Optics and Electronics (iOPEN), and the Key Laboratory of Intelligent Interaction and Applications, Ministry of Industry and Information Technology,, Northwestern Polytechnical University, Xi’an, China

2. School of Artificial Intelligence, Optics and Electronics (iOPEN) and the Key Laboratory of Intelligent Interaction and Applications, Ministry of Industry and Information Technology, Northwestern Polytechnical University, Xi’an, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10247080.pdf?arnumber=10247080

Reference71 articles.

1. Random Access Memories: A New Paradigm for Target Detection in High Resolution Aerial Remote Sensing Images

2. Learning end-to-end lossy image compression: A benchmark;hu;IEEE Trans Pattern Anal Mach Intell,2022

3. FAIR1M: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery

4. Convolutional Neural Networks for Multimodal Remote Sensing Data Classification

5. Change detection in romote sensing images using conditional adversarial network;lebedev;Int Arch Photogramm Remote Sens Spatial Inf Sci,2018

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